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    AI, automation and analytics

    Enhancing and increasing the productivity of valuable engineering resources by providing AI and analytic capabilities throughout the entire development lifecycle.

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    Write higher quality requirements

    Watson can help you write higher quality requirements.

    IBM has trained Requirements Quality Assistant based on INCOSE Guidelines for Writing Good Requirements to help your teams improve quality of requirements.

    Leverage all of your data

    Leveraging the proverbial single source of truth is crucial for teams to succeed.

    ELM’s integrated, end-to-end solution provides a true single source of truth to deliver data transparency and traceability across the entire development lifecycle.

    Automation is your friend

    Keep your engineering teams focused, automate the everyday tasks using artificial intelligence.

    IBM Workflow Management allows for the process automation of repetitive tasks to free up valuable engineering resources.

    Know what to test

    Utilize risk-based testing for prioritizing the features and functions to be tested, based on importance and likelihood or impact of failure, supporting risk management best practices.

    IBM Engineering Test Management uses automation to speed project schedules and report on metrics for informed release decisions.

    Take the next step

    Scale

    Engineering teams are at a tipping point in how they develop increasingly complex products.

    Compliance

    In industries with increasingly stringent compliance regulations, getting the products built isn’t enough. Product quality is critical to safety, so you have to prove compliance.

    Data transparency

    Success comes when teams can leverage a single source of truth across engineering data.